Before you fill in a value proposition canvas, check one thing
Ask yourself: when did you last talk to a customer who left? Not the one who renewed the contract and is happy. The one who chose a competitor or simply stopped buying. If the answer is "a long time ago" or "I don't remember", then the value proposition canvas you are about to fill in will describe the company you would like to be, not the one the customer sees.
A value proposition canvas only makes sense when one side holds real observations about the customer and the other holds concrete promises from the company. In B2B practice, where the sales cycle lasts for months and several people make the decision, the difference between a canvas built on data and a canvas built on a hunch is enormous. The first one organizes communication and shortens sales conversations. The second one ends up in a drawer after the first management meeting.
What a value proposition canvas looks like in B2B practice
The classic Osterwalder and Pigneur model divides the canvas into two sides. On the right, the customer profile: the jobs they want to get done, the pains that get in the way, and the gains they expect. On the left, the value map: products and services, pain relievers, and gain creators. The logic is simple: every element on the left should answer something on the right. If it does not, that value proposition is really just a description of what the company knows how to do.
In B2B, however, this model needs adjusting. First, the customer often consists of three or four roles: the person who will use the solution, the person who buys it, the person who approves the budget, and sometimes IT or legal as well. Each of these people has different jobs, pains, and gains. A canvas filled in for "the company" instead of for a specific role is useless. Second, in B2B the pains rarely concern the product itself. More often they concern risk: what happens if this does not work, who will be held responsible, how it will affect my position in the company.
That is why in practice it is worth running not one canvas but two or three, separately for each key role in the buying process. It is more work, but only then do you see that the argument that convinces the user ("you will save two hours a day") does not work on the budget holder ("this is not a line item in this quarter's plan").
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1
Choose roles, not companies
An operational, a decision-making, and a financial person. Three or four conversations with each role.
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2
Ask about the past
Instead of asking about wishes, ask about specific situations that have already happened.
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3
Write down quotes
Record the customers' exact words, not your own conclusions. Quotes later become fuel for content.
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4
Confront the data with the canvas
Check which elements were confirmed and which were only the team's assumption.
The most common mistake: a canvas filled with assumptions, not data
In most companies we have worked with, the value proposition canvas is created like this: the marketing and sales team sits in a room, writes on a flipchart what the customer "definitely" thinks, and after two hours has a finished document. The problem is that these assumptions are rarely verified. And when the moment comes to decide on campaign content or on what to say at the first meeting, nobody goes back to the data, because there is no data.
The result is that the value proposition for the customer sounds like a list of the company's wishes: "we are flexible", "we have experience", "we take an individual approach". The customer reads it and sees nothing in it that relates to their situation. In B2B this is especially costly, because every such message uses up the attention of people with limited time and budget.
The second mistake is filling in the canvas once and treating it as a document forever. The market changes, the customer changes priorities, new regulatory or technological constraints appear. A canvas that has not been updated for two years describes a reality that no longer exists. In practice it is worth revisiting it every quarter, or at least after every major lost tender or after a series of conversations with customers who left.
How to collect data for the canvas without burning through your budget
You do not need a full market research study with a thousand respondents for this. In B2B, a dozen or so conversations are enough if they are conducted well. Below is a concrete process that works in service and manufacturing companies.
Step 1: choose roles, not companies
Instead of talking to "the client", choose specific roles: the operations person who uses the solution, the decision-maker who signs the contract, the finance person who approves the budget. Talk to three or four people from each role. That gives you 9-12 conversations, which, with good-quality notes, is enough to spot patterns.
Step 2: ask about the past, not the future
The question "what would you like our product to do" produces wishful answers. The question "tell me how you last solved this problem" produces data. People remember better what they did than what they would do. In the conversation, look for specifics: how much time it took, who was involved, what went wrong, what was hardest.
Step 3: note quotes, not conclusions
Instead of writing "the client thinks the process is too slow", write down the exact sentence: "waiting for approval sometimes takes us two weeks, because everything goes through one person". Quotes later become fuel for content, offers, and sales scripts. Conclusions can be drawn at the end, but quotes cannot be recreated from memory.
Step 4: confront the data with the canvas
After the conversations, return to the canvas and check which elements were confirmed and which were only assumptions. It usually turns out that some of the pains the team considered key do not appear in the conversations at all. And others appear that nobody thought of. This is the moment when the canvas starts to be a tool rather than decoration.
| Canvas from assumptions | Canvas from data | |
|---|---|---|
| Source of information | Internal team discussion | Conversations with clients from different roles |
| Typical mistake | Communicating what the company can do rather than what the client needs | No updates after market changes |
| Impact on content | General statements: flexibility, experience, individual approach | Specific arguments matched to the client's role and situation |
| Durability | The document lands in a drawer after the first meeting | The tool comes back when making decisions about content and offers |
From canvas to communication: what changes in content
A well-completed value proposition canvas translates into concrete communication decisions. First, it orders the hierarchy of arguments. If the pain that comes up most often in conversations is related to operational risk, that pain should come first in your content, not time savings, which sounds nice but is not what is blocking the decision.
Second, it lets you tailor communication to the role. An operations person wants to know how the solution will affect their daily work. A decision-maker wants to know what risk they are taking and what happens if the project fails. A finance person wants to see how it adds up and when the investment pays back. A single message for everyone usually does not work, because each of these people is looking for something different.
Third, the canvas helps filter out content that has no grounding in the client's reality. If there is an element in the value map that does not respond to any pain or gain from the customer profile, there is no point communicating it. That sounds obvious, but in practice many companies communicate things that matter to them, not to the client.
It is also worth remembering that the value proposition canvas does not replace a marketing strategy. It is one of its elements, alongside segmentation, positioning, and the channel plan. If you want to see how it all fits together, take a look at our approach to B2B marketing strategy. There, the canvas is the starting point for a conversation about what the company should communicate and to whom.
When the value proposition canvas fails
The canvas is not a universal tool. There are situations where its value is limited. First, when a company sells a product that the client buys routinely, without much thought. In that case the customer profile is usually flat, and the value map comes down to price and availability. You can still fill in the canvas, but you cannot squeeze an advantage out of it that is not there.
Second, when the market is at a stage where the client does not yet know what they need. In that case conversations give few specifics, because the client has no experience with similar solutions yet. In that situation an experimental approach works better: testing different propositions on a small scale and seeing which one takes hold.
Third, when the canvas is treated as a one-off exercise. Then even the best-completed document loses its value after a few months. It only makes sense when it is regularly updated and when you return to it when making decisions about content, offers, and sales priorities.
In our work with B2B companies, we see that the canvas delivers the most value when it is combined with regularly collecting feedback from clients. Without that, it becomes a document that looks good in a presentation but changes nothing in the team's daily work.
Conclusions
- A value proposition canvas only makes sense when it is filled in with data from conversations with clients, not with the team's assumptions.
- In B2B, keep a separate canvas for each key role in the buying process, because each one has different pains and gains.
- Collect quotes, not conclusions. Specific client sentences later become fuel for content and sales scripts.
- Return to the canvas every quarter or after every major lost tender. A document that has not been updated describes a reality that no longer exists.
- The canvas is an element of strategy, not a replacement for it. Without segmentation and a channel plan, it remains a wish list.
Sources
- Kreutzer, R. T., Practice-Oriented Marketing: Basics, Instruments, Implementation, 2019
- Osterwalder, A., Pigneur, Y., Business Model Generation, 2010